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Applied Compute

AI Infrastructure · 6.4K followers · LinkedIn benchmark, last 90 days (original)

data through 2026-08-12

Momentum vs prior 90 days

Posts

21

-34%

Posts/wk

1.6

-36%

Avg engagement

44.7

smart avg / post

-16%

Momentum

+1%

2nd half of window vs 1st

2026-05-292026-08-27 · Benchmark by Imagine AI · methodology at benchmark.imagineai.me/dashboard/methodology

Engagement trend

Posting volume (bars) vs average engagement per post (line) — page + team, original posts

Momentum over time

Change in average engagement per post vs the previous week — green gaining, red losing

Category mix

Cadence

Average engagement by day posted (Pacific time)

Team contribution

Team data through 2026-07-03 — employee scrapes lag this window; low numbers here mean stale data, not a quiet team.

Company page posts counted in every number on this pageExclude

What drives engagement

Smart avg engagement per post across every post in this window. Gray rows at the bottom are under the sample floor (8+ posts per category, 8+ per format) — too few posts to trust the average.

By category

Product Update42.79 posts
Celebratory Announcement46.81 post · low n
Industry Insight45.97 posts · low n
Event44.84 posts · low n

By format

Video45.58 posts
Carousel462 posts · low n
Image45.55 posts · low n
Text Only42.66 posts · low n

Timing detail is in the Cadence chart above.

Best performing posts

  • 2026-08-05 · Company page · Celebratory Announcement85 eng. (74 likes · 5 comments · 6 shares)

    As a supporter of the open weights ecosystem, we're proud to be a post-training partner for NVIDIA Nemotron. We post-train Nemotron models f

    View post →
  • 2026-06-02 · Company page · Event70 eng. (66 likes · 0 comments · 4 shares)

    Your data is your edge, but only if your AI is built on it. Rent a generic model and so can your competitor. The companies with an edge are

    View post →
  • 2026-06-22 · Company page · Product Update68 eng. (63 likes · 1 comments · 4 shares)

    We partnered with Harvey to post-train the state-of-the-art legal agent on their LAB benchmark. It surpasses Opus 4.8 Max and GPT-5.5 xhigh.

    View post →
  • 2026-06-10 · Company page · Industry Insight65 eng. (60 likes · 0 comments · 5 shares)

    After working with both frontier labs and enterprises across industries, Mercor CEO Brendan Foody join our CEO Yash Patil us to discuss why

    View post →
  • 2026-06-26 · Yash Patil · Industry Insight61 eng. (53 likes · 2 comments · 6 shares)

    "There should be as many models in the world as firms in the world." Satya and I dig into when to own vs. rent your intelligence, why every

    View post →

Worst performing posts — settled posts only (published ≥7 days before the data edge)

  • 2026-06-04 · Yash Patil · Product Update17 eng. (17 likes · 0 comments · 0 shares)

    Great to collaborate with the NVIDIA team on this!

    View post →
  • 2026-07-03 · Yash Patil · Industry Insight23 eng. (23 likes · 0 comments · 0 shares)

    Running RL asynchronously is the key to faster and cheaper training runs. We've been doing A LOT of research here to make the most performan

    View post →
  • 2026-08-04 · Company page · Product Update24 eng. (20 likes · 1 comments · 3 shares)

    Production traces contain rich feedback that rarely makes it back into training pipelines. Self-distillation methods allow us to close the c

    View post →
  • 2026-06-03 · Company page · Event30 eng. (29 likes · 0 comments · 1 shares)

    No two companies are the same, even within the same vertical. That's why generic models fall short and Specific Intelligence wins: custom mo

    View post →
  • 2026-07-28 · Company page · Product Update32 eng. (27 likes · 1 comments · 4 shares)

    Most training frameworks only allow you to train on a single sequence of tokens. But enterprises orchestrate multi-agent systems and evaluat

    View post →

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